Data Scientist - Research - Grant Funded

Scripps Health • La Jolla, LA

2d • Hybrid

About The Position

Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. Why join Scripps Health? At Scripps Health, your ambition is empowered and your abilities are appreciated: Nearly a quarter of our employees have been with Scripps Health for over 10 years. Scripps is a Great Place to Work Certified company for 2025. Scripps Health has been consistently ranked as a top employer for women, millennials, diversity, and as an overall workplace by various national publications. Beckers Healthcare ranked Scripps Health on its 2024 list of 150 top places to work in health care. We have transitional and professional development programs to create a learning environment that enables you to thrive in your specific field as well as in your overall career. Our specialties have been nationally recognized for quality in areas such as cardiovascular care, oncology, orthopedics, geriatrics, obstetrics and gynecology, and gastroenterology. Why join this team? We are looking for a sharp, strong communicator with a high degree of emotional intelligence who can provide strategic and technical input alongside excellent customer service. The Data Scientist will focus on data analysis and statistics for federally supported research projects and grant applications. The Data Scientist will provide advanced, integrated analytics in support of organizational objectives. Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate research data analysis, data-driven decision making. Partner with internal and external constituents to understand key requirements, plan and execute projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement. Design data modeling processes, create algorithms and predictive models to extract key data, and analyze the data and share insights with clinical, research, operational, and business stakeholders. Collaborate on manuscript development and dissemination of research results. The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes and performance. This is a grant funded role through April 30, 2030.

Requirements

• Bachelor's degree.
• Experience with different healthcare data sources (medical claims, authorizations, pharmacy, provider, membership).
• Experience with statistical modeling and interpretations of complex data.
• Experience in analyzing any of the following: Medical expenses & utilization trends, RAF Scores, Comorbidities & disease burden, Healthcare quality measures.
• Excellent critical and analytical thinking, customer service skills, and strong written and verbal communication skills.
• Experience in R, Python, or SAS programming.
• Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies.
• Intermediate knowledge of Power BI or Tableau.
• Must have knowledge and skills necessary to explain complex concepts to team members and leadership.
• Ability to work both independently and collaboratively as part of a team.

Nice To Haves

• PhD in related field (Data Science, Quantitative, Clinical, or Engineering).
• Experience in AI and multi-modal data analysis.
• Experience in predictive modeling for clinical intelligence.
• Experience in working with and applying for federally funded research studies.
• Prior experience with Epic data structures and reporting environments.
• Expertise in leading analytics for value-based populations.
• Experience in market intelligence and financial projections.

Responsibilities

• Focus on data analysis and statistics for federally supported research projects and grant applications.
• Provide advanced, integrated analytics in support of organizational objectives.
• Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate research data analysis, data-driven decision making.
• Partner with internal and external constituents to understand key requirements, plan and execute projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement.
• Design data modeling processes, create algorithms and predictive models to extract key data, and analyze the data and share insights with clinical, research, operational, and business stakeholders.
• Collaborate on manuscript development and dissemination of research results.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees